Guan-Lin Chao

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guan-Lin Chao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diederik P. Kingma
  2. Oriol Vinyals
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Dzmitry Bahdanau
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Jason Aaron Edward Weston
  10. Kyunghyun Cho

Papers from Guan-Lin Chao's perspective

Ordered by how strongly the researchers Guan-Lin Chao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers